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Hi,
I'm fairly new to Power BI so forgive me if this is a common question, I couldn't find anything specific to non-consecutive, variable distance rows. I'm trying to calculate the total delivery time for each truck using the data below as follows: for n deliveries, total route time = Depart(n) - Arrive (1). E.g. for VAN4, total time would be 15:23-10:06 = 5:17.
I have no idea how I would go about this. I'm guessing it would be to create a measure that would be filtering by truck first, then find the last in the sequence, and get the time from there; then subtract the earliest in the filtered rows? Even if I was correct in my logic, my knowledge of DAX is very limited at the moment.
Truck Name | Delivery Sequence Num | Arrive | Depart | |||
VAN4 | 1 | 10:06:00 | 10:26:00 | |||
VAN4 | 2 | 11:49:00 | 12:14:00 | |||
VAN4 | 3 | 12:45:00 | 13:00:00 | |||
VAN4 | 4 | 14:11:00 | 14:41:00 | |||
VAN4 | 5 | 15:13:00 | 15:23:00 | |||
VAN3 | 1 | 11:11:00 | 11:36:00 | |||
VAN3 | 2 | 11:46:00 | 11:58:00 | |||
VAN3 | 3 | 17:35:00 | 17:45:00 | |||
VAN2 | 1 | 08:26:00 | 08:38:00 | |||
VAN2 | 2 | 11:01:00 | 11:31:00 | |||
VAN2 | 3 | 12:00:00 | 12:15:00 | |||
VAN2 | 4 | 14:44:00 | 14:59:00 | |||
VAN1 | 1 | 10:40:00 | 10:50:00 | |||
VAN1 | 2 | 13:04:00 | 13:24:00 | |||
VAN1 | 3 | 17:31:00 | 17:43:00 | |||
VAN1 | 4 | 17:47:00 | 17:57:00 |
Any help would be greatly appreciated,
Will
Solved! Go to Solution.
Hi @Anonymous ,
Please refer to my pbix to see if it helps you.
Create a measure.
Measure =
VAR _min_arrive =
CALCULATE (
MIN ( 'Table'[Arrive] ),
FILTER (
ALL ( 'Table' ),
'Table'[Truck Name] = SELECTEDVALUE ( 'Table'[Truck Name] )
)
)
VAR _max_time =
CALCULATE (
MAX ( 'Table'[Depart] ),
FILTER (
ALL ( 'Table' ),
'Table'[Truck Name] = SELECTEDVALUE ( 'Table'[Truck Name] )
)
)
RETURN
_max_time - _min_arrive
If I have misunderstood your meaning, please provide your desired output and pbix without privacy information.
Best Regards
Community Support Team _ Polly
Hi @Anonymous ,
Please refer to my pbix to see if it helps you.
Create a measure.
Measure =
VAR _min_arrive =
CALCULATE (
MIN ( 'Table'[Arrive] ),
FILTER (
ALL ( 'Table' ),
'Table'[Truck Name] = SELECTEDVALUE ( 'Table'[Truck Name] )
)
)
VAR _max_time =
CALCULATE (
MAX ( 'Table'[Depart] ),
FILTER (
ALL ( 'Table' ),
'Table'[Truck Name] = SELECTEDVALUE ( 'Table'[Truck Name] )
)
)
RETURN
_max_time - _min_arrive
If I have misunderstood your meaning, please provide your desired output and pbix without privacy information.
Best Regards
Community Support Team _ Polly
Hello:
Please see solution file attached. https://drive.google.com/file/d/1akPQxeppWYb5ePklqODvgHxcSGXejnGI/view?usp=sharing
You might want to play around with the time formats. Hope this helps!
@Anonymous See my article on Mean Time Between Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/339586.
The basic pattern is:
Column =
VAR __Current = [Value]
VAR __PreviousDate = MAXX(FILTER('Table','Table'[Date] < EARLIER('Table'[Date])),[Date])
VAR __Previous = MAXX(FILTER('Table',[Date]=__PreviousDate),[Value])
RETURN
__Current - __Previous
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